Abstract
In this work we examine the effect of dialog acts on word use, in context of the influence of interlocutors in a polylogue on each other. The basic idea of this work is the extension of the cache model and the influence model by dialog act information. The cache model covers the re-usage of words and the influence model calculates the influence of interlocutors in a polylogue on each other. Both approaches could be used to improve the word prediction accuracy in a word generative model. We start to examine the usage of dialog acts to improve our word generative model in terms of perplexity. For the usage of dialog acts, a knowledge about the future dialog act is required. Therefore, we examine how dialog act miss-prediction influences the resulting performance. Further on, we introduce a new approach to generate artificial dialog acts which guarantees the knowledge about the following dialog act. Our final experiments present the improvements in terms of perplexity using our new approach in AMI, NIST and NTT meeting corpora.
| Original language | English |
|---|---|
| Title of host publication | 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Proceedings |
| Pages | 4969-4972 |
| Number of pages | 4 |
| DOIs | |
| Publication status | Published - 2012 |
| Externally published | Yes |
| Event | 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Kyoto Duration: 2012 Mar 25 → 2012 Mar 30 |
Other
| Other | 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 |
|---|---|
| City | Kyoto |
| Period | 12/3/25 → 12/3/30 |
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Keywords
- Dialog Act Model
- Influence Model
- Speech Entrainment
ASJC Scopus subject areas
- Signal Processing
- Software
- Electrical and Electronic Engineering
Cite this
Effect of dialog acts on word use in polylogue. / Roller, Roland; Watanabe, Shinji; Iwata, Tomoharu.
2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Proceedings. 2012. p. 4969-4972 6289035.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Effect of dialog acts on word use in polylogue
AU - Roller, Roland
AU - Watanabe, Shinji
AU - Iwata, Tomoharu
PY - 2012
Y1 - 2012
N2 - In this work we examine the effect of dialog acts on word use, in context of the influence of interlocutors in a polylogue on each other. The basic idea of this work is the extension of the cache model and the influence model by dialog act information. The cache model covers the re-usage of words and the influence model calculates the influence of interlocutors in a polylogue on each other. Both approaches could be used to improve the word prediction accuracy in a word generative model. We start to examine the usage of dialog acts to improve our word generative model in terms of perplexity. For the usage of dialog acts, a knowledge about the future dialog act is required. Therefore, we examine how dialog act miss-prediction influences the resulting performance. Further on, we introduce a new approach to generate artificial dialog acts which guarantees the knowledge about the following dialog act. Our final experiments present the improvements in terms of perplexity using our new approach in AMI, NIST and NTT meeting corpora.
AB - In this work we examine the effect of dialog acts on word use, in context of the influence of interlocutors in a polylogue on each other. The basic idea of this work is the extension of the cache model and the influence model by dialog act information. The cache model covers the re-usage of words and the influence model calculates the influence of interlocutors in a polylogue on each other. Both approaches could be used to improve the word prediction accuracy in a word generative model. We start to examine the usage of dialog acts to improve our word generative model in terms of perplexity. For the usage of dialog acts, a knowledge about the future dialog act is required. Therefore, we examine how dialog act miss-prediction influences the resulting performance. Further on, we introduce a new approach to generate artificial dialog acts which guarantees the knowledge about the following dialog act. Our final experiments present the improvements in terms of perplexity using our new approach in AMI, NIST and NTT meeting corpora.
KW - Dialog Act Model
KW - Influence Model
KW - Speech Entrainment
UR - http://www.scopus.com/inward/record.url?scp=84867591867&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84867591867&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2012.6289035
DO - 10.1109/ICASSP.2012.6289035
M3 - Conference contribution
AN - SCOPUS:84867591867
SN - 9781467300469
SP - 4969
EP - 4972
BT - 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Proceedings
ER -